Title :
State Estimation in Power Systems: Detecting Bad Data through the Sparse Inverse Matrix Method
Author_Institution :
ELECTRICITE DE FRANCE
fDate :
5/1/1978 12:00:00 AM
Abstract :
In the real time control of power system, the state estimation function plays a leading role. To perform its task, the estimator must detect and eliminate the grossly erroneous measurements.
Keywords :
Computer errors; Covariance matrix; Performance evaluation; Power system control; Power system modeling; Power systems; Real time systems; Sparse matrices; State estimation; Testing;
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
DOI :
10.1109/TPAS.1978.354538
